Evidence map›Paper›PMID 31563392›Full record

ArticleClinical therapeutics2019

Safe Expectations: Current State and Future Directions for Medication Safety in Pregnancy Research.

Mollie E Wood, Susan E Andrade, Sengwee Toh

Abstract read
In one paragraph

Article in Clinical therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. PregMedNet: Multifaceted Maternal Medication Impacts on Neonatal Complications.medRxiv : the preprint server for health sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Mollie E WoodDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: mollie.wood@gmail.com.
Susan E AndradeMeyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA, USA.
Sengwee TohDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.

Funding

CVD Epidemiology Training Program in Behavior, the Environment and Global HealthT32HL098048 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Goodarz Danaei, ERIC B RIMM · 2009 to 2026
$6.9M
Privacy-protecting distributed analysis of biomedical big dataU01EB023683 · NIBIB · HARVARD PILGRIM HEALTH CARE, INC. · PI TOH, DARREN · 2016 to 2018
$1.4M
Improving missing data analysis in distributed research networksR01HS026214 · AHRQ · HARVARD PILGRIM HEALTH CARE, INC. · PI TOH, DARREN · 2018 to 2020
$1.2M
AHRQ HHS R01 HS026214NHLBI NIH HHS T32 HL098048NIBIB NIH HHS U01 EB023683
6 · The paper itself

Abstract

Medication use in pregnancy is common, but information about the safety of most medications in pregnant women or their infants is limited. In the absence of data from randomized clinical trials to guide decisions made by regulators, clinicians, and patients, we often have to rely on well-designed observational studies to generate valid evidence about the benefits and risks of medications in pregnancy. Spontaneous reporting, primary case-control and cohort studies, pregnancy exposure registries, and electronic health data have been used extensively for studying medication safety in pregnancy. This article discusses these data sources, their strengths and limitations, and possible strategies and approaches to mitigating limitations when planning studies or interpreting findings from the literature. Strategies discussed include combining data sources across institutional or national borders, developing and using more sophisticated study designs, and taking advantage of existing analytic methods for more complex data structures, such as time-varying exposure or unmeasured confounding. Finally, we make recommendations for study designs that aid in better risk-related communication.

Indexed as

Drug TherapyFemaleHumansObservational Studies as TopicPatient SafetyPregnancyResearch Designmedications in pregnancypharmacoepidemiology

Identifiers

PMID31563392
PMCPMC6917855

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.